top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in geosciences [[electronic resource] ] . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Advances in geosciences [[electronic resource] ] . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2007
Descrizione fisica 1 online resource (224 p.)
Disciplina 550.5
Altri autori (Persone) IpW.-H
ParkNamsik
Collana Advances in geosciences
Soggetto topico Planetary meteorology
Space environment
Earth sciences
Space sciences
Planetology
Soggetto genere / forma Electronic books.
ISBN 1-281-91865-2
9786611918651
981-270-891-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Stochastic Generation of Multi-Site Rainfall Occurrences Ratnasingham Srikanthan and Geoffrey G. S. Pegram; 1. Introduction; 2. Multi-Site Rainfall Occurrence Model; 2.1. Hidden covariance model; 3. Daily Rainfall Data; 4. Discussion of Results; 5. Conclusions; Acknowledgments; References; A Spatial-Temporal Downscaling Approach for Construction of Intensity-Duration-Frequency Curves in Consideration of GCM-Based Climate Change Scenarios Tan-Danh Nguyen, Van-Thanh-Van Nguyen and Philippe Gachon; 1. Introduction; 2. The Spatial-Temporal Downscaling Method
2.1. Spatial downscaling technique using SDSM 2.2. A temporal downscaling method using the scaling GEV distribution; 3. Numerical Application; 4. Conclusions; References; Development and Applications of the Advanced Regional Eta-Coordinate Numerical Heavy-Rain Prediction Model System in China Cui Chunguang, Li Jun and Shi Yan; 1. Development of Advanced Regional Eta Model; 2. Application of AREM in China; 2.1. Precipitation forecast experiments of different operational models; 2.2. Temporal and spatial evolvement forecast experiment of AREM
2.3. Simulation experiments of some important rain event 2.4. Data assimilation experiments based on AREM; 3. Considerations for Further Development; References; Method of Correcting Variance of Point Monthly Rainfall Directly Estimated Using Low Frequent Observations From Space Eiichi Nakakita, Syunsuke Okane and Lisako Konoshima; 1. Introduction; 2. Correction of the Variance of Point Monthly Rainfall; 2.1. Feasibility of correction; 2.2. Modeling the relationship between the sample variance of the monthly precipitation and the number of observations
3. Verification of the Model Equation of the Sample Variance 3.1. Verification using information from the ground-based radar; 3.2. Verification using information from the ground-based radar considering observation frequency of the TRMM/PR; 3.3. Validation using TRMM/PR observation; 4. Introducing Spatial Correlation and Estimation of Temporal and Spatial, Correlation Lengths; 5. Conclusions; Acknowledgments; References; Monte Carlo Simulation for Calculating Drought Characteristics Chavalit Chaleeraktrakoon and Supamit Noikumsin; 1. Introduction; 2. Simplified Monte Carlo Simulation Approach
3. Drought Characteristics 4. Assessment of the Simulation Approach; 4.1. Medium-scale system; 4.2. Large-scale system; 5. Summary and Conclusions; References; On Regional Estimation of Floods for Ungaged Sites Van-Thanh-Van Nguyen; 1. Introduction; 2. The Scaling Approach to Regional Estimation of Floods; 2.1. The scaling process; 2.2. The scaling GEV distribution; 3. Numerical Application; 3.1. Delineation of homogeneous regions; 3.2. Estimation of quantiles for ungaged sites; 4. Conclusions; References
Determination of Confidence Limits for Model Estimation Using Resampling Techniques N. K. M. Nanseer, M. J. Hall and H. F. P. Van Den Boogaard
Record Nr. UNINA-9910451529903321
Hackensack, NJ, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in geosciences [[electronic resource] ] . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Advances in geosciences [[electronic resource] ] . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2007
Descrizione fisica 1 online resource (224 p.)
Disciplina 550.5
Altri autori (Persone) IpW.-H
ParkNamsik
Collana Advances in geosciences
Soggetto topico Planetary meteorology
Space environment
Earth sciences
Space sciences
Planetology
ISBN 1-281-91865-2
9786611918651
981-270-891-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Stochastic Generation of Multi-Site Rainfall Occurrences Ratnasingham Srikanthan and Geoffrey G. S. Pegram; 1. Introduction; 2. Multi-Site Rainfall Occurrence Model; 2.1. Hidden covariance model; 3. Daily Rainfall Data; 4. Discussion of Results; 5. Conclusions; Acknowledgments; References; A Spatial-Temporal Downscaling Approach for Construction of Intensity-Duration-Frequency Curves in Consideration of GCM-Based Climate Change Scenarios Tan-Danh Nguyen, Van-Thanh-Van Nguyen and Philippe Gachon; 1. Introduction; 2. The Spatial-Temporal Downscaling Method
2.1. Spatial downscaling technique using SDSM 2.2. A temporal downscaling method using the scaling GEV distribution; 3. Numerical Application; 4. Conclusions; References; Development and Applications of the Advanced Regional Eta-Coordinate Numerical Heavy-Rain Prediction Model System in China Cui Chunguang, Li Jun and Shi Yan; 1. Development of Advanced Regional Eta Model; 2. Application of AREM in China; 2.1. Precipitation forecast experiments of different operational models; 2.2. Temporal and spatial evolvement forecast experiment of AREM
2.3. Simulation experiments of some important rain event 2.4. Data assimilation experiments based on AREM; 3. Considerations for Further Development; References; Method of Correcting Variance of Point Monthly Rainfall Directly Estimated Using Low Frequent Observations From Space Eiichi Nakakita, Syunsuke Okane and Lisako Konoshima; 1. Introduction; 2. Correction of the Variance of Point Monthly Rainfall; 2.1. Feasibility of correction; 2.2. Modeling the relationship between the sample variance of the monthly precipitation and the number of observations
3. Verification of the Model Equation of the Sample Variance 3.1. Verification using information from the ground-based radar; 3.2. Verification using information from the ground-based radar considering observation frequency of the TRMM/PR; 3.3. Validation using TRMM/PR observation; 4. Introducing Spatial Correlation and Estimation of Temporal and Spatial, Correlation Lengths; 5. Conclusions; Acknowledgments; References; Monte Carlo Simulation for Calculating Drought Characteristics Chavalit Chaleeraktrakoon and Supamit Noikumsin; 1. Introduction; 2. Simplified Monte Carlo Simulation Approach
3. Drought Characteristics 4. Assessment of the Simulation Approach; 4.1. Medium-scale system; 4.2. Large-scale system; 5. Summary and Conclusions; References; On Regional Estimation of Floods for Ungaged Sites Van-Thanh-Van Nguyen; 1. Introduction; 2. The Scaling Approach to Regional Estimation of Floods; 2.1. The scaling process; 2.2. The scaling GEV distribution; 3. Numerical Application; 3.1. Delineation of homogeneous regions; 3.2. Estimation of quantiles for ungaged sites; 4. Conclusions; References
Determination of Confidence Limits for Model Estimation Using Resampling Techniques N. K. M. Nanseer, M. J. Hall and H. F. P. Van Den Boogaard
Record Nr. UNINA-9910785098703321
Hackensack, NJ, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in geosciences . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Advances in geosciences . Volume 6 Hydrological science (HS) / / editor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park
Edizione [1st ed.]
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2007
Descrizione fisica 1 online resource (224 p.)
Disciplina 550.5
Altri autori (Persone) IpW.-H
ParkNamsik
Collana Advances in geosciences
Soggetto topico Planetary meteorology
Space environment
Earth sciences
Space sciences
Planetology
ISBN 1-281-91865-2
9786611918651
981-270-891-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Stochastic Generation of Multi-Site Rainfall Occurrences Ratnasingham Srikanthan and Geoffrey G. S. Pegram; 1. Introduction; 2. Multi-Site Rainfall Occurrence Model; 2.1. Hidden covariance model; 3. Daily Rainfall Data; 4. Discussion of Results; 5. Conclusions; Acknowledgments; References; A Spatial-Temporal Downscaling Approach for Construction of Intensity-Duration-Frequency Curves in Consideration of GCM-Based Climate Change Scenarios Tan-Danh Nguyen, Van-Thanh-Van Nguyen and Philippe Gachon; 1. Introduction; 2. The Spatial-Temporal Downscaling Method
2.1. Spatial downscaling technique using SDSM 2.2. A temporal downscaling method using the scaling GEV distribution; 3. Numerical Application; 4. Conclusions; References; Development and Applications of the Advanced Regional Eta-Coordinate Numerical Heavy-Rain Prediction Model System in China Cui Chunguang, Li Jun and Shi Yan; 1. Development of Advanced Regional Eta Model; 2. Application of AREM in China; 2.1. Precipitation forecast experiments of different operational models; 2.2. Temporal and spatial evolvement forecast experiment of AREM
2.3. Simulation experiments of some important rain event 2.4. Data assimilation experiments based on AREM; 3. Considerations for Further Development; References; Method of Correcting Variance of Point Monthly Rainfall Directly Estimated Using Low Frequent Observations From Space Eiichi Nakakita, Syunsuke Okane and Lisako Konoshima; 1. Introduction; 2. Correction of the Variance of Point Monthly Rainfall; 2.1. Feasibility of correction; 2.2. Modeling the relationship between the sample variance of the monthly precipitation and the number of observations
3. Verification of the Model Equation of the Sample Variance 3.1. Verification using information from the ground-based radar; 3.2. Verification using information from the ground-based radar considering observation frequency of the TRMM/PR; 3.3. Validation using TRMM/PR observation; 4. Introducing Spatial Correlation and Estimation of Temporal and Spatial, Correlation Lengths; 5. Conclusions; Acknowledgments; References; Monte Carlo Simulation for Calculating Drought Characteristics Chavalit Chaleeraktrakoon and Supamit Noikumsin; 1. Introduction; 2. Simplified Monte Carlo Simulation Approach
3. Drought Characteristics 4. Assessment of the Simulation Approach; 4.1. Medium-scale system; 4.2. Large-scale system; 5. Summary and Conclusions; References; On Regional Estimation of Floods for Ungaged Sites Van-Thanh-Van Nguyen; 1. Introduction; 2. The Scaling Approach to Regional Estimation of Floods; 2.1. The scaling process; 2.2. The scaling GEV distribution; 3. Numerical Application; 3.1. Delineation of homogeneous regions; 3.2. Estimation of quantiles for ungaged sites; 4. Conclusions; References
Determination of Confidence Limits for Model Estimation Using Resampling Techniques N. K. M. Nanseer, M. J. Hall and H. F. P. Van Den Boogaard
Record Nr. UNINA-9910807880603321
Hackensack, NJ, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui